Yao Su
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- DNA Repair Mechanisms 2
- Fungal and yeast genetics research 2
-
- Viral Infections and Immunology Research 4
- Co-authors
- Weiqi Zhang (2 shared papers)Zunpeng Liu (2 shared papers)Guang‐Hui Liu (2 shared papers)Jing Qu (2 shared papers)Lingling Geng (2 shared papers)Zhenglun Liang (5 shared papers)Xianming Xu (5 shared papers)Wei Li (1 shared paper)
- Journals
- Protein & Cell (2 papers)Human Vaccines & Immunotherapeutics (2 papers)Frontiers in Pharmacology (2 papers)Emerging Microbes & Infections (1 paper)Neuroscience (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yao Su
25 papers receiving 448 citations
Peers
Comparison fields: 5 of 105
- Aging 21
- Geriatrics and Gerontology 14
- Obstetrics and Gynecology 30
- Cardiology and Cardiovascular Medicine 66
- Molecular Biology 155
Countries citing papers authored by Yao Su
This map shows the geographic impact of Yao Su's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yao Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Su more than expected).
Fields of papers citing papers by Yao Su
This network shows the impact of papers produced by Yao Su. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yao Su. The network helps show where Yao Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yao Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 93 | |
| 2 | 2019 | 59 | |
| 3 | 2018 | 41 | |
| 4 | 2010 | 40 | |
| 5 | 2021 | 37 | |
| 6 | 2021 | 31 | |
| 7 | 2014 | 29 | |
| 8 | 2018 | 22 | |
| 9 | 2022 | 15 | |
| 10 | 2014 | 15 | |
| 11 | 2022 | 13 | |
| 12 | 2023 | 9 | |
| 13 | 2024 | 9 | |
| 14 | 2017 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2022 | 5 | |
| 17 | 2017 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2018 | 3 |
About Yao Su
Yao Su is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Obstetrics and Gynecology and Infectious Diseases, having authored 28 papers that have together received 455 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Gestational Diabetes Research and Management (4 papers), Viral Infections and Immunology Research (4 papers), DNA Repair Mechanisms (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Algal biology and biofuel production (2 papers), Fungal and yeast genetics research (2 papers) and Fungal Biology and Applications (2 papers). The work is most often cited by research in Aging (21 citations), Geriatrics and Gerontology (14 citations), Obstetrics and Gynecology (30 citations), Cardiology and Cardiovascular Medicine (66 citations) and Molecular Biology (155 citations). Yao Su has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Weiqi Zhang, Zunpeng Liu, Guang‐Hui Liu, Jing Qu, Lingling Geng, Zhenglun Liang, Xianming Xu, Wei Li, Wei Wang and Shen Tu. Their work appears in journals such as Protein & Cell, Human Vaccines & Immunotherapeutics, Frontiers in Pharmacology, Emerging Microbes & Infections and Neuroscience.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.